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DBMS > GeoSpock vs. Graph Engine vs. PostGIS vs. TimescaleDB vs. XTDB

System Properties Comparison GeoSpock vs. Graph Engine vs. PostGIS vs. TimescaleDB vs. XTDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonPostGIS  Xexclude from comparisonTimescaleDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSpatial extension of PostgreSQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSGraph DBMS
Key-value store
Spatial DBMSTime Series DBMSDocument store
Secondary database modelsTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitegeospock.comwww.graphengine.iopostgis.netwww.timescale.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.graphengine.io/­docs/­manualpostgis.net/­documentationdocs.timescale.comwww.xtdb.com/­docs
DeveloperGeoSpockMicrosoftTimescaleJuxt Ltd.
Initial release2010200520172019
Current release2.0, September 20193.4.2, February 20242.13.0, November 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGPL v2.0Open Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Javascript.NET and CCCClojure
Server operating systemshosted.NETLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes, extensible-data-notation format
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesyesno
Secondary indexestemporal, categoricalyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyesyes infofull PostgreSQL SQL syntaxlimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
JDBC
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Clojure
Java
Server-side scripts infoStored proceduresnoyesuser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningyes infobased on PostgreSQLyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLSource-replica replication with hot standby and reads on replicas infoyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users can be defined per tableyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
GeoSpockGraph Engine infoformer name: TrinityPostGISTimescaleDBXTDB infoformerly named Crux
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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